SC-Cleared AWS Data Engineer: Cloud Pipelines

SC-Cleared AWS Data Engineer: Cloud Pipelines

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Sanderson Government & Defence

At a Glance

  • Tasks: Design and optimise scalable data pipelines in a secure cloud environment.
  • Company: Join Sanderson Government & Defence, a leader in the sector.
  • Benefits: Immediate start, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative work environment within structured delivery frameworks.
  • Why this job: Make a real impact on high-profile Central Government projects.
  • Qualifications: Experience with AWS, Terraform, Python, and PySpark required.

The predicted salary is between 60000 - 80000 Β£ per year.

Sanderson Government & Defence is seeking an experienced AWS Data Engineer with active SC clearance to support a high-profile Central Government programme. This role offers an immediate start and involves designing and optimizing scalable data pipelines within a secure cloud environment.

The successful candidate will have strong hands-on experience with:

  • AWS services
  • Terraform for Infrastructure as Code
  • Python
  • PySpark

The role includes working collaboratively within structured delivery frameworks.

SC-Cleared AWS Data Engineer: Cloud Pipelines employer: Sanderson Government & Defence

At Sanderson Government & Defence, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through continuous training opportunities and the chance to work on high-profile projects within the secure environment of Central Government. Join us to make a meaningful impact while enjoying the benefits of a supportive team and a focus on professional development.

Sanderson Government & Defence

Contact Details:

Sanderson Government & Defence Recruitment Team

We think you need these skills to ace SC-Cleared AWS Data Engineer: Cloud Pipelines

AWS Services
Terraform
Infrastructure as Code
Python
PySpark
Data Pipeline Design
Data Pipeline Optimisation